Browse published AI skills maintained by databuddy-analytics. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
935Repository forks
143Average repository stars per indexed skill
117Repository stars may repeat across skills from the same repository.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Use the Databuddy Node.js SDK for server-side tracking with batching, middleware, and deduplication. Use when implementing analytics in Node.js servers, API routes, serverless functions, or when you need server...
Use Databuddy feature flags for React, Node.js, and Vue applications. Use when implementing feature flags, A/B testing, gradual rollouts, or user-targeted feature toggles.
Use the Databuddy React SDK for Next.js and React applications. Use when implementing analytics tracking in React components, setting up the Databuddy component in layouts, or using React hooks for event tracki...
Use Databuddy LLM observability for Vercel AI SDK. Use when implementing LLM analytics, tracking AI model usage, monitoring token costs, or observing AI application performance.
Use the Databuddy REST API for programmatic access to analytics data. Use when querying analytics data, building custom dashboards, sending events via API, or integrating analytics into backend services.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Use the core Databuddy SDK for browser-side tracking utilities, event tracking, and global tracker access. Use when implementing analytics in vanilla JavaScript or when you need direct access to the core tracki...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.